Learning Engineer Energy Recovery
Resume:
SHIVAADITH ANBARASU
Machine Learning Engineer / Data Scientist
Skills
Core Programming: Python, SQL, Octave, HTML, CSS, JS, Algorithms, C++, Java
Software and Framework: PTC Creo, SolidWorks, Ansys, Bootstrap, Flask, Django, Power BI
Machine Learning / Data Science: Statistics, Applied Mathematics, R-programming, Scikit-learn, NLP, Neural Networks, OpenCV, AWS, PyTorch, TensorFlow
Engineering: Machine/Automotive component design and analysis
Projects
Classification using Convolutional Neural Networks: 06/2020
• Created a Dog Breed Classifier/Predictor using CNN architecture, which predicts (with 85% accuracy) the breed of a dog based on user input images – or a breed resembling a person’s face if the input image is of a human.
• PyTorch framework was used to create the architecture of the networks and AWS was used in the deployment stage of the project.
Sentiment Analysis: 04/2020
• Created and deployed a sentiment analysis tool that predicts the sentiment of reviews input by users on a web-app
• Although initially implemented on IMDB movie reviews, the model can be modified to predict sentiment across various types on text-input by users.
Kinetic Energy Recovery System (KERS): 12/2017 – 05/2018
• Produced a working prototype of an electric vehicle system that recovers and stores Kinetic energy lost during braking. The system then uses the stored energy to improve performance and driving range.
• The model consists of a highly simplified version of the complex architecture involved in electric vehicles, but statistical inferences have proven that a reasonable approximation of the model can be obtained and subsequently deployed into the real-world systems.
Professional Experience
IIT Madras Chennai, Tamil Nadu
Research Assistant: 01/2018 – 03/2020
• Gathered information from numerous case studies and relevant research papers and formatted them into descriptive presentations. Also created teaching aids for professors in the form of snippets using this information.
• Processed large amounts of data, performed statistical analysis and created suitable models to observe and analyze the working prototypes to ensure that the experimentation was satisfactory.
• Performed design work and calculations on models during the experimental stage. Simultaneously performed extensive testing of the models as well.
Education
Birla Institute of Technology and Science, Pilani Pilani, Rajasthan, India M.Tech. Software Engineering (Part-time) Class of 2022 SRM Institute of Science and Technology Chennai, Tamil Nadu, India B.Tech. Mechanical Engineering Class of 2018
Udacity
Nanodegree Machine Learning Engineer Class of 2020 **********@*****.***
https://www.linkedin.com/in/shivaadith-anbarasu/
https://shiva-adith.github.io/my_portfolio/
Self-driven Machine Learning Engineer with a great passion towards the Data Science Chennai, Tamil Nadu - 600097 and Artificial Intelligence industry. Highly skilled in conducting research, formulating strategies and implementing machine-learning algorithms to solve complex real-world problems. Detail-oriented and committed to combining my hunger towards acquiring new skills with the desire to exploit cutting-edge data science technology.
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